Data Architect / Modeler - Databricks

About the Role

We are seeking a Data Architect / Modeler to design scalable, governed data solutions and translate complex business requirements into implementable target-state architectures on Databricks. You will work closely with business stakeholders, data owners, architects, and engineering teams to ensure data models are consistent, reusable, and aligned with enterprise data strategy.

The role combines hands-on data modeling with architecture ownership, providing technical guidance across delivery teams and helping establish modern data architecture practices.

Key Responsibilities

• Define and maintain conceptual, logical, and physical data models aligned with Databricks lakehouse architecture and enterprise data standards.

• Translate business requirements, data definitions, and business rules into structured data models, mappings, and implementable technical designs.

• Analyze source systems, existing data structures, relationships, dependencies, and data flows to define effective target-state architectures.

• Design data solutions using Databricks, Delta Lake, Unity Catalog, and medallion architecture patterns.

• Define and apply reusable data architecture standards, modeling conventions, patterns, and design principles across delivery initiatives.

• Partner with data engineering teams to validate technical feasibility, resolve architecture and modeling gaps, and guide implementation.

• Embed data governance, metadata, lineage, data quality, security, and standardization considerations into target-state designs.

• Provide hands-on technical guidance, conduct design reviews, maintain requirements-to-data traceability, and contribute to continuous improvement of data architecture practices.

Required Qualifications

• 5+ years of relevant hands-on experience in data architecture, data modeling, data engineering, or related disciplines.

• Strong experience translating complex business and data requirements into conceptual, logical, and physical data models.

• Hands-on knowledge of Databricks, including Delta Lake, Unity Catalog, and medallion architecture patterns.

• Strong understanding of enterprise data architecture principles, data integration patterns, dimensional modeling, normalized schemas, and data design standards.

• Proficiency with data modeling tools and techniques, including ERD, UML, dimensional modeling, or equivalent approaches.

• Experience incorporating data governance, metadata management, data lineage, and data quality requirements into solution designs.

• Strong communication and stakeholder-management skills, with the ability to explain architecture decisions clearly to both technical and business audiences.

Preferred Qualifications

• Experience designing and implementing data models for production Databricks lakehouse environments.

• Knowledge of Delta Lake optimization, partitioning, Databricks SQL, Spark SQL, and performance-tuning techniques.

• Experience with complex banking or financial-services data models, including large-scale transformation or cloud migration initiatives.

• Experience with Data Vault, advanced dimensional modeling, or complex normalized enterprise data models.

• Familiarity with metadata, lineage, and data quality technologies such as OpenMetadata, or comparable platforms.

• Experience working in Agile delivery environments and guiding teams through iterative architecture and modeling decisions.

• Relevant advanced degree or professional certifications in data architecture, cloud, or Databricks technologies.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.